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Volumn , Issue , 2009, Pages 660-671

Top-k dominating queries in uncertain databases

Author keywords

[No Author keywords available]

Indexed keywords

REAL APPLICATIONS; SEARCH SPACES; UNCERTAIN DATABASE; UNCERTAIN DATAS; UNCERTAIN QUERY; WIDE SPECTRUM;

EID: 70349092550     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1516360.1516437     Document Type: Conference Paper
Times cited : (70)

References (34)
  • 2
    • 33749637514 scopus 로고    scopus 로고
    • The Gauss-tree: Efficient object identification in databases of probabilistic feature vectors
    • C. Böhm, A. Pryakhin, and M. Schubert. The Gauss-tree: efficient object identification in databases of probabilistic feature vectors. In Proc. 22th Int. Conf. on Data Engineering, 2006.
    • (2006) Proc. 22th Int. Conf. on Data Engineering
    • Böhm, C.1    Pryakhin, A.2    Schubert, M.3
  • 16
    • 61449091346 scopus 로고    scopus 로고
    • Underground coal mine monitoring with wireless sensor networks
    • M. Li and Y. Liu. Underground coal mine monitoring with wireless sensor networks. In ACM Transactions on Sensor Networks, 2009.
    • (2009) ACM Transactions on Sensor Networks
    • Li, M.1    Liu, Y.2
  • 29
    • 33745614117 scopus 로고    scopus 로고
    • Y. Tao, R. Cheng, X. Xiao, W. K. Ngai, B. K., and S. Prabhakar. Indexing multi-dimensional uncertain data with arbitrary probability density functions. In Proc. 31st Int. Conf. on Very Large Data Bases, 2005.
    • Y. Tao, R. Cheng, X. Xiao, W. K. Ngai, B. K., and S. Prabhakar. Indexing multi-dimensional uncertain data with arbitrary probability density functions. In Proc. 31st Int. Conf. on Very Large Data Bases, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.